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DBMS > jBASE vs. Kinetica vs. MySQL vs. OmniSci

System Properties Comparison jBASE vs. Kinetica vs. MySQL vs. OmniSci

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Editorial information provided by DB-Engines
NamejBASE  Xexclude from comparisonKinetica  Xexclude from comparisonMySQL  Xexclude from comparisonOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018  Xexclude from comparison
DescriptionA robust multi-value DBMS comprising development tools and middlewareGPU-accelerated database for real-time analysis of large and streaming datasetsWidely used open source RDBMSA high performance, in-memory, column-oriented RDBMS, designed to run on GPUs
Primary database modelMultivalue DBMSRelational DBMSRelational DBMS infoKey/Value like access via memcached APIRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.69
Rank#120  Overall
#3  Multivalue DBMS
Score0.60
Rank#193  Overall
#93  Relational DBMS
Score1275.67
Rank#2  Overall
#2  Relational DBMS
Score2.30
Rank#104  Overall
#50  Relational DBMS
Websitewww.jbase.comwww.kinetica.comwww.mysql.comwww.omnisci.com
Technical documentationdocs.jbase.comwww.kinetica.com/­docsdev.mysql.com/­docdocs.omnisci.com/­latest
DeveloperZumasysKineticaOracle infosince 2010, originally MySQL AB, then SunMapD Technologies, Inc.
Initial release1991201219952016
Current release5.76.08.0.18, October 2019V4
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPL version 2. Commercial licenses with extended functionallity are availableOpen Source infoApache Version 2; enterprise edition available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Azure Database for MySQL: A fully managed, scalable MySQL relational database with high availability and security built in at no extra cost
Implementation languageC, C++C and C++C++ and CUDA
Server operating systemsAIX
Linux
Windows
LinuxFreeBSD
Linux
OS X
Solaris
Windows
Linux
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or dateoptionalyesyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.yesnoyesno
Secondary indexesyesyesno
SQL infoSupport of SQLEmbedded SQL for jBASE in BASICSQL-like DML and DDL statementsyes infowith proprietary extensionsyes
APIs and other access methodsJDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
Proprietary native API
JDBC
ODBC
Thrift
Supported programming languages.Net
Basic
Jabbascript
Java
C++
Java
JavaScript (Node.js)
Python
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
All languages supporting JDBC/ODBC/Thrift
Python
Server-side scripts infoStored proceduresyesuser defined functionsyes infoproprietary syntaxno
Triggersyesyes infotriggers when inserted values for one or more columns fall within a specified rangeyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioning, sharding with MySQL Cluster or MySQL FabricSharding infoRound robin
Replication methods infoMethods for redundantly storing data on multiple nodesyesMaster-slave replicationMaster-master replication
Master-slave replication
Master-master replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyes infonot for MyISAM storage engineno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID infonot for MyISAM storage engineno
Concurrency infoSupport for concurrent manipulation of datayesyesyes infotable locks or row locks depending on storage engineyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoGPU vRAM or System RAMyesyes
User concepts infoAccess controlAccess rights can be defined down to the item levelAccess rights for users and roles on table levelUsers with fine-grained authorization concept infono user groups or rolesfine grained access rights according to SQL-standard

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More resources
jBASEKineticaMySQLOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018
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Recent citations in the news

Zumasys Acquires jBASE Database
5 January 2015, Business Wire

Zumasys, Inc
5 March 2019, International Spectrum Magazine

Vultar Releases JDBC Drivers for jBASE
3 April 2019, International Spectrum Magazine

Temenos sells non-banking part of jBase to Zumasys
15 February 2016, IBS Intelligence

provided by Google News

Kinetica Active Analytics Platform Incorporates NVIDIA RAPIDS for Predictive Analytics
13 November 2019, Database Trends and Applications

The Kinetica Active Analytics Platform and RAPIDS Now Available on Oracle Cloud Infrastructure to Accelerate Predictive Data Analytics Performance
19 November 2019, Yahoo Finance

GPU Database Market 2018-2027 Regional Analysis, Industry Size, Emerging Trends and Top Manufacturers are Blazegraph, BlazingDB, Brytlyt, Fuzzy Logix, Jedox, Kinetica DB, Neo4j, OmniSci, SQream Technologies
10 December 2019, Downey Magazine

GPU Database Market Latest Trend with Top key players: Kinetica, Omnisci, Sqream
28 November 2019, Montana Ledger

GPU Database Market Top companies- Kinetica, OmniSci,SQream , Neo4j , NVIDIA , Brytlyt, Blazegraph , BlazingDB, Zilliz
16 November 2019, News Hours Today

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IDERA Enhances SQL Diagnostic Manager for MySQL
11 December 2019, Database Trends and Applications

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6 December 2019, Laravel News

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OmniSci, Intel Join Forces to Produce Better CPU Analytics
2 December 2019, Toolbox

GPU Database Market 2018-2027 Regional Analysis, Industry Size, Emerging Trends and Top Manufacturers are Blazegraph, BlazingDB, Brytlyt, Fuzzy Logix, Jedox, Kinetica DB, Neo4j, OmniSci, SQream Technologies
10 December 2019, Downey Magazine

GPU Database Market Latest Trend with Top key players: Kinetica, Omnisci, Sqream
28 November 2019, Montana Ledger

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16 November 2019, News Hours Today

GPU Database Market to Show Strong Growth (Kinetica, Omnisci, Sqream, Neo4j and many more..)
12 November 2019, VaporBlash

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